{"id":"W4410220398","doi":"10.62951/repeater.v3i2.404","title":"Dinamika Sentimen Komunikasi Mahasiswa dan Dosen dengan Pemanfaatan Analisis Pesan Whatsapp Akademis Menggunakan Machine Learning","year":2025,"lang":"en","type":"article","venue":"Repeater","topic":"Educational Methods and Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255635,0.0008738392,0.0006633796,0.002562972,0.000967472,0.00347188,0.0005158183,0.0005551322,0.01335011],"category_scores_gemma":[0.00501864,0.0002199135,0.0007529318,0.002523473,0.0007979999,0.002312495,0.0009384061,0.0007384176,0.002815438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008213687,"about_ca_system_score_gemma":0.0006150036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002537178,"about_ca_topic_score_gemma":0.002957443,"domain_scores_codex":[0.9987665,0.0002232089,0.0001221517,0.0002262475,0.0005452369,0.0001167186],"domain_scores_gemma":[0.9979628,0.0009492016,0.0002357313,0.000149363,0.0006394192,0.000063507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008001036,0.0003302652,0.1415779,0.002302316,0.0005735059,0.001411137,0.01154471,0.004302316,0.01443084,0.01795479,0.01858262,0.7861893],"study_design_scores_gemma":[0.00005049302,0.0007208085,0.6356905,0.001514216,0.0009374087,0.004250954,0.04834463,0.06167025,0.02710072,0.05279153,0.1665103,0.0004182238],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8176743,0.00825963,0.06329438,0.002583097,0.000875656,0.0005303576,0.004038719,0.001208443,0.1015354],"genre_scores_gemma":[0.960107,0.002668262,0.01591407,0.0001630066,0.00009877369,0.0002781236,0.001330887,0.00008392285,0.01935588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335011,"threshold_uncertainty_score":0.04466051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513185846518396,"score_gpt":0.3690973405691686,"score_spread":0.3439654821039846,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}